SceneDreamer
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About
SceneDreamer is an unconditional generative model focused on producing unbounded 3D scenes from in-the-wild 2D image collections. It learns to synthesize large-scale 3D landscapes using an efficient representation structure that incorporates both height and semantic fields, allowing representation of 3D scenes with enhanced detail and depth. The tool employs a generative neural hash grid and a neural volumetric renderer, trained through adversarial methods, to create photorealistic images based on input scene semantics and 3D positional data. This innovative approach achieves superior results when generating diverse and vivid unbounded 3D worlds.
Platform
Task
Features
• generates unbounded 3d scenes
• free camera trajectory
• supports diverse styles
• consistent depth perception
• synthesizes landscapes from 2d images
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